English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

We adapt tools from information theory to analyze how an observer comes tosynchronize with the hidden states of a finitary, stationary stochasticprocess. We show that synchronization is determined by both the process'sinternal organization and by an observer's model of it. We analyze thesecomponents using the convergence of state-block and block-state entropies,comparing them to the previously known convergence properties of the Shannonblock entropy. Along the way, we introduce a hierarchy of informationquantifiers as derivatives and integrals of these entropies, which parallels asimilar hierarchy introduced for block entropy. We also draw out the dualitybetween synchronization properties and a process's controllability. The toolslead to a new classification of a process's alternative representations interms of minimality, synchronizability, and unifilarity.

Synchronization and Control in Intrinsic and Designed Computation: An Information-Theoretic Analysis of Competing Models of Stochastic Computation